Data Analyst

Location: Banbridge (Head Office) Hours: Monday-Thursday 8am-5pm | Friday 8am-3pm Salary: Competitive (depending on experience)

About the Business

This is an opportunity to join a leading organisation operating within the UK and Ireland’s building services and energy solutions sector. The business specialises in the design, development, and delivery of innovative, offsite-prefabricated and sustainable energy solutions across the UK and Europe. With a strong track record in delivering complex projects, the organisation works across commercial, public sector, and large-scale infrastructure environments.

The Opportunity

This role sits within a growing Data Analytics function that is becoming increasingly central to business performance and decision-making.

Reporting to the Senior Data Analyst, you will play a key role in turning data into actionable insight, supporting both operational and strategic objectives. This is a high-visibility position, offering the opportunity to work closely with stakeholders across the business.

Key Responsibilities

• Clean, transform, and prepare data using Excel, Power Query, Power BI, and relevant tools
• Integrate multiple data sources to ensure accurate and consistent reporting
• Analyse data to identify trends, anomalies, and opportunities
• Develop, maintain, and enhance interactive dashboards and visualisations in Power BI
• Partner with stakeholders to understand reporting requirements and deliver effective solutions
• Support senior management with data-driven insights to inform decision-making
• Conduct statistical analysis to support business initiatives
• Lead knowledge-sharing sessions on reporting tools and outputs
• Support ad hoc data requests and continuous improvement initiatives
• Contribute to data governance, documentation, and reporting standards

Skills and Experience Required

• 1-2 years’ experience in a Data Analyst or Business Intelligence role
• Strong Power BI capability, including DAX and data modelling
• Advanced Excel skills (including pivot tables and complex formulas)
• Experience with Power Automate and workflow automation concepts
• Familiarity with cloud-based data platforms (e.g. SharePoint)
• Strong analytical and problem-solving ability with high attention to detail
• Confident communication skills with the ability to present to non-technical audiences
• Ability to manage competing priorities in a fast-paced environment
• Self-motivated, proactive, and able to work both independently and collaboratively
• Fluent in written and spoken English

Desirable Experience

• Degree in Data Analytics, Computer Science, Engineering, Mathematics, Business, or a related field
• Strong SQL knowledge with hands-on experience in querying and data modelling
• Experience within construction, engineering, or related technical environments

Benefits

• Structured training and career development opportunities
• Competitive pension scheme
• Life assurance
• Health cash plan and annual health check
• 30 days annual leave, increasing with service
• Employee wellbeing and social initiatives
• Free onsite parking
• Complimentary refreshments provided daily
• Modern, well-equipped working environment
• Supportive and collaborative culture

Apply

If you are looking to join a growing, forward-thinking business where you can make a real impact through data, we would be keen to hear from you.

Please apply with your CV and a brief cover note outlining your experience.

4807108 - Juliann

• 1-2 years’ experience in a Data Analyst or Business Intelligence role
• Strong Power BI capability, including DAX and data modelling
• Advanced Excel skills (including pivot tables and complex formulas)
• Experience with Power Automate and workflow automation concepts
• Familiarity with cloud-based data platforms (e.g. SharePoint)
• Strong analytical and problem-solving ability with high attention to detail
• Confident communication skills with the ability to present to non-technical audiences
• Ability to manage competing priorities in a fast-paced environment
• Self-motivated, proactive, and able to work both independently and collaboratively
• Fluent in written and spoken English

Desirable Experience

• Degree in Data Analytics, Computer Science, Engineering, Mathematics, Business, or a related field
• Strong SQL knowledge with hands-on experience in querying and data modelling
• Experience within construction, engineering, or related technical environments

• Structured training and career development opportunities
• Competitive pension scheme
• Life assurance
• Health cash plan and annual health check
• 30 days annual leave, increasing with service
• Employee wellbeing and social initiatives
• Free onsite parking
• Complimentary refreshments provided daily
• Modern, well-equipped working environment
• Supportive and collaborative culture

Apply

If you are looking to join a growing, forward-thinking business where you can make a real impact through data, we would be keen to hear from you.

Please apply with your CV and a brief cover note outlining your experience.

4807108 - Juliann